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Computer vision

Known as: Image classification, History of computer vision, Image Recognition Techniques 
Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are… Expand
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Review
2019
Review
2019
Generative adversarial networks (GANs) have been extensively studied in the past few years. Arguably the revolutionary techniques… Expand
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Review
2019
Review
2019
As an important problem in computer vision, salient object detection (SOD) from images has been attracting an increasing amount… Expand
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Review
2019
Review
2019
With the breakthroughs in deep learning, the recent years have witnessed a booming of artificial intelligence (AI) applications… Expand
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Review
2019
Review
2019
Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in… Expand
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Review
2019
Review
2019
High quality face editing in videos is a growing concern and spreads distrust in video content. However, upon closer examination… Expand
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Review
2019
Review
2019
The classic supervised machine learning paradigm is based on learning in isolation, a single predictive model for a task using a… Expand
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Review
2019
Review
2019
Over the past decade deep learning has driven progress in 2D image understanding. Despite these advancements, techniques for… Expand
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Review
2019
Review
2019
Modern hyperspectral imaging systems produce huge datasets potentially conveying a great abundance of information; such a… Expand
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Review
2019
Review
2019
The appearance of generative adversarial networks (GAN) provides a new approach and framework for computer vision. Compared with… Expand
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